Abstract: Learning trustworthy and reliable offline policies presents significant challenges due to the inherent uncertainty in pre-collected datasets. In this article, we propose a novel offline ...

Abstract: The excessive conservatism in existing uncertainty bounds for Gaussian processes (GPs) significantly restricts the solution space, leading to unreliable probabilistic robustness in practical ...